Enhancing VR Based Serious Games and Simulations Design: Bayesian Knowledge Tracing and Pattern-Based Approaches
Article No.: 58, Pages 1 - 2
Abstract
This paper explores how Bayesian Knowledge Tracing (BKT) can be integrated with a pattern-based approach to enhance the development of virtual reality (VR) based serious games and simulations. These technologies allow for the prediction of user progress and the utilization of Artificial Intelligence (AI) methods to tailor difficulty levels based on individual needs. By combining BKT, pattern-based mechanics, and affective feedback, comprehensive data on user interactions, skills, and emotional states can be collected. This data enables the estimation of learners’ knowledge levels and the prediction of their progress.
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- Enhancing VR Based Serious Games and Simulations Design: Bayesian Knowledge Tracing and Pattern-Based Approaches
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Published In
October 2023
542 pages
ISBN:9798400703287
DOI:10.1145/3611659
Copyright © 2023 Owner/Author.
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Association for Computing Machinery
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Published: 09 October 2023
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- Refereed limited
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- European Union?s Horizon 2020
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VRST 2023: 29th ACM Symposium on Virtual Reality Software and Technology
October 9 - 11, 2023
Christchurch, New Zealand
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Overall Acceptance Rate 66 of 254 submissions, 26%
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